Statistical and Data Sciences 293 - Machine Learning

Machine Learning

Spring
2025
01
4.00
R. Jordan Crouser

TU TH 1:20 PM - 2:35 PM

Smith College
SDS-293-01-202503
jcrouser@smith.edu
SDS 293-01, CSC 293-01
Offered as CSC 293 and SDS 293. The field of statistical learning encompasses a variety of computational tools for modeling and understanding complex data. In this introductory course, we will explore many of the most popular of these tools, such as sparse regression, classification trees, boosting and support vector machines. In addition to unpacking the mathematics underlying the computational methods, students will also gain hands-on experience in applying these techniques to real datasets using R. Prerequisite: SDS 201, SDS 220 or CSC 210, or equivalent intro statistics course. Enrollment limited to 60.

[CE] SDS 201, SDS 220 or CSC 210

Permission is required for interchange registration during the add/drop period only.
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